Karin Schiecke

582 citations
27 papers · 402 · h-index 12

Impact in

Papers in

Karin Schiecke

27 papers receiving 394 citations

Peers

Karin Schiecke
Comparison fields: 5 of 74
  • Computational Mathematics 15
  • Cognitive Neuroscience 271
  • Physical Therapy, Sports Therapy and Rehabilitation 35
  • Cardiology and Cardiovascular Medicine 134
  • Signal Processing 46
Replace Britta Pester with:
Britta Pester Germany
Stefanos Georgiadis Finland
Davide Borra Italy
Changchun Liu China
Ning Ji China
Jana Krohová Slovakia
Karin Schwab Germany
Balakrishnan Ramasamy India
Tamanna T. K. Munia United States
Yongjie Zhu Finland
Karin Schiecke relative to Britta Pester Germany Britta Pester's profile →
Citations per field
00.5×1.5×
Britta Pester · 1×
Citations per year

Countries citing papers authored by Karin Schiecke

Since Specialization
Citations

This map shows the geographic impact of Karin Schiecke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Karin Schiecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schiecke more than expected).

Fields of papers citing papers by Karin Schiecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Schiecke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Karin Schiecke. The network helps show where Karin Schiecke may publish in the future.

Co-authors

The 25 scholars most cited alongside Karin Schiecke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karin Schiecke Line = papers co-authored together Karin Schiecke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201935
3 201335
4 201432
5 201631
6 201430
7 201622
8 201521
9 201520
10 201515
11 201514
12 202211
13 201510
14 201410
15 20228
16 20178
17 20146
18 20125
19 20143
20 20143

About Karin Schiecke

Karin Schiecke is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Signal Processing, Pediatrics, Perinatology and Child Health and Control and Systems Engineering, having authored 27 papers that have together received 402 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (10 papers), Heart Rate Variability and Autonomic Control (9 papers), Neural dynamics and brain function (9 papers), Blind Source Separation Techniques (8 papers), Neonatal and fetal brain pathology (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Computational Mathematics (15 citations), Cognitive Neuroscience (271 citations), Physical Therapy, Sports Therapy and Rehabilitation (35 citations), Cardiology and Cardiovascular Medicine (134 citations) and Signal Processing (46 citations). Karin Schiecke has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Herbert Witte, Britta Pester, Martha Feucht, Lutz Leistritz, Franz Benninger, Thorben Hülsdünker, Andreas Mierau, Heiko K. Strüder, Laura Astolfi and Andy Schumann. Their work appears in journals such as Methods of Information in Medicine, IEEE Transactions on Biomedical Engineering, Acta Obstetricia Et Gynecologica Scandinavica, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and New Journal of Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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